ChatGPT and AI in Government

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 47 - 68

Published: May 31, 2024

This chapter explores the transformative impact of artificial intelligence (AI) and ChatGPT techniques in facilitating real-time data-driven decision-making within government sectors. The adoption AI advanced language models like represents a significant shift how governments process vast amounts information to make timely informed decisions. research focuses on application these technologies enhancing governmental operations, policy-making, public services. Case studies are presented illustrate practical applications various functions such as health management, accelerating teaching learning, urban planning, environmental monitoring, emergency response. Additionally, addresses ethical considerations need for robust data governance frameworks ensure responsible use government. includes discussion privacy, security, potential risks bias models.

Language: Английский

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CHATGPT IN COMMUNICATION: A SYSTEMATIC LITERATURE REVIEW

Applied Computer Science, Journal Year: 2024, Volume and Issue: 20(3), P. 96 - 115

Published: Sept. 30, 2024

This systematic literature review examines the role of ChatGPT in communication. ChatGPT's ability to imitate human-like interactions has broad implications various sectors, such as education, healthcare, and customer service digital-based economy. The authors used a structured manuscript selection method this research collect analyze on use communication context. A (SLR) was used, involving an extensive search through Scopus Google Scholar databases with keywords "ChatGPT" "communication." Manuscript required strict inclusion exclusion criteria. Of 623 articles found, 30 were selected for further review. results show that using had both positive negative impacts. Positive impacts involve increasing efficiency effectiveness communications, especially marketing, ethics, health. However, challenges ethical considerations, risk plagiarism, limited understanding context emotional also identified. health, other fields demonstrated great potential improve processes, decision-making, work efficiency. ensure responsible sustainable use, we must address specific risks. study provides comprehensive overview recent developments while highlighting practical be considered. With careful consideration advantages limitations, communications can significantly contribute fields.

Language: Английский

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Hyperparameter Optimization of Machine Learning Models Using Grid Search for Twitter Sentiment Analysis

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 419 - 432

Published: Dec. 23, 2024

Twitter has emerged as a significant social media platform and garnered interest from sentiment analysis researchers. Text mining is an active subfield that includes (TSA) research. TSA the term used to describe utilization of algorithms analyze subjective nature data, which its sentiments opinions. The extraction inferences user interactions facilitated by machine learning (ML) approaches. A wide range methodologies are employed emotions. This research compares four supervised techniques with frequency-inverse document frequency (TF-IDF) method hyperparameter tuning grid search for Dell tweets dataset. classification technique will demonstrate how performed using performance metrics.

Language: Английский

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Techniques and Approaches for Sentiment Analysis in Social Media

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 403 - 418

Published: Dec. 23, 2024

The sentiment of a person (opinion) can be expressed through speech or writing in specific natural language. Sentiment analysis (SA) often aims to identify the opinions writer speaker on particular topic general contextual polarity document. is widely employed social media and reviews for variety purposes, such as customer service, political reviews, policymaking, marketing research, decision-making. Machine learning (ML) approaches allow extraction inferences from user interactions. Emotions are analyzed using machine approaches, deep (DL), supervised, semi-supervised, unsupervised learning. In this chapter, various methodologies classification introduced most challenging area analysis. This study gives academics worldwide perspective feelings its related domain, applications, obstacles by providing an in-depth discussion methodologies.

Language: Английский

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Generative AI in Stock Market Prediction: A Study on Adoption and Perception Among Experts and Young Investors

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, Journal Year: 2024, Volume and Issue: 08(04), P. 1 - 5

Published: April 17, 2024

Human beings are endowed with a natural curiosity and creativity, which motivate them to learn new things from their interactions the world. learning has involved exploration experimentation, have allowed humans discover facts principles, invent artifacts systems. also affected human evolution, both genetically culturally, as adjusted different situations demands in environments. However, current world, is largely facilitated by artificial intelligence (AI) tools, programs that can perform tasks usually require intelligence, such comprehension, reasoning, problem-solving, communication. AI tools support endeavors, giving access enormous amounts of information, delivering customized interactive assistance feedback. amplify creativity innovation, generating novel diverse content, code, poems, essays, songs, more. But what effects this dependence on for evolution? Does it boost or diminish creativity? enable limit autonomy agency? foster hamper diversity collaboration? These some questions topic will explore, evaluating pros cons using learning, ethical social issues arise phenomenon. [28] Today when we look around us observe advancement technology brought lot comfort our lives terms traveling, education, enjoying content virtually. [29] Talking about basic requirements, become so friendly everything through E-Learning. Everyone only wondered having an help making easy. The latest concept widely received accepted people everywhere Globe Open Chat Gpt, Gemini, Copilot. All these helps decision cutting chase short finding solutions either lengthy like writing summary related something Questions easy solve but difficult solutions. About quarter (27%) Americans say they interact almost constantly several times day. Artificial used variety ways, including online product recommendations, facial recognition software chatbots. One six (17%) adults reported often always recognise AI, one two (50%) time occasionally three (33%) hardly ever never AI. [26] In project testing upon recently emerged ChatGPT, Google Bard, Bing. Our motive find out whether powerful academics other do take advice financial planning well.

Language: Английский

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